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Quantitative Risk Manager Jobs in Florida (NOW HIRING)

NextEra Energy

Quantitative Analyst

Juno Beach, FL · On-site

Our team is skilled in market analysis, trading, risk management and delivering tailored customer ... quantitative studies and analyses of spot/forward prices and volatilities for making pricing ...

NextEra Energy

Quantitative Analyst

Juno Beach, FL · On-site

Our team is skilled in market analysis, trading, risk management and delivering tailored customer ... quantitative studies and analyses of spot/forward prices and volatilities for making pricing ...

BankUnited

ERM Risk Analyst

Miami Lakes, FL · On-site

Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts. * Knowledge and application of risk management frameworks. * Knowledge in risk assessment ...

Da Vinci

Experienced Quant

Miami, FL

Manage and monitor trading risk in real-time * Develop and refine strategies for both existing and ... Build and back test quantitative models and strategies * Collaborate with traders and developers to ...

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Quantitative Risk Manager information

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$38.5K

$83.4K

$127K

How much do quantitative risk manager jobs pay per year?

As of Jun 7, 2026, the average yearly pay for quantitative risk manager in Florida is $83,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $96,400.00 per year, depending on experience, location, and employer.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is a Quantitative Risk Manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Florida? For Quantitative Risk Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Florida look for? The top searched job categories for Quantitative Risk Manager jobs in Florida are:
What cities in Florida are hiring for Quantitative Risk Manager jobs? Cities in Florida with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $83,365 per year, or $40.1 per hour.

AI and Agentic AI Risk Management Senior Specialist

Nubank

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

About Us
Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the team
At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI - including LLM-powered and autonomous agentic systems - with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases.
About the role
This is a senior, hands-on technical position. You will help define what model risk management looks like for AI and Agentic AI at Nubank - building and enhancing the frameworks, not just inheriting them. You will perform independent assessments of AI systems for quality, behavior, and robustness, and help design the guardrails and platform-level controls that govern their safe use. You'll act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation. This role focuses on AI quality, agentic behavior, and platform controls; cybersecurity, data privacy, and fraud-specific matters sit with partner functions and are out of scope.
What you will do
AI Risk Framework & Governance
  • Build and continuously enhance the risk management framework for AI and Agentic AI systems, including inventory standards, assessment methodologies, control design, and issue management.
  • Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks, and define prioritized mitigation actions.
  • Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time.

Independent AI Assessment
  • Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring.
  • Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, model/agent quality, human oversight, and hallucination risk.
  • Identify and document model limitations, failure modes, and emerging AI risks, including drift, instability, fairness, and robustness concerns.

Controls, Platform & Enablement
  • Influence first-line teams on platform architecture and embedded controls for the safe deployment and monitoring of AI.
  • Build Key Risk Indicators (KRIs) and metrics for continuous monitoring of AI risk.
  • Develop tools, evals, analyses, and playbooks (including AI-enabled automation) to improve the speed, scale, and effectiveness of AI governance and validation.

Advisory & Advocacy
  • Serve as a trusted advisor across the AI/ML lifecycle, evaluating new use cases for materiality and governance requirements prior to deployment.
  • Discuss and report AI risk status and independent opinions to stakeholders, including senior managers and, where relevant, regulators.
  • Champion AI risk management as a strategic enabler of safe and scalable AI adoption, and build AI risk literacy across engineering, product, and risk teams.
  • Work in a multicultural, diverse, and highly skilled environment.

Requirements we are looking for
  • Education: A bachelor's or master's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering, or related).
  • Hands-on AI/ML experience: A track record developing or validating AI/ML models and systems, ideally a candidate who has moved from an AI / Machine Learning Engineer background into model risk, governance, or risk management. You don't need to have trained foundation models from scratch, but you need solid, current technical depth.
  • Strong technical foundations: Proficiency in Python, SQL, and modern ML tooling; familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks.
  • Evaluation and testing: Experience evaluating and testing ML and generative AI systems, including custom evals, benchmarking, stress testing, and drift/degradation monitoring.
  • Risk management experience: Demonstrated experience in risk identification, control definition, and framework building; understanding of model risk governance principles and independent effective challenge.
  • Data skills: Experience working with large datasets and building dashboards and analyses to support risk visibility.
  • High agency and adaptability: Comfortable operating in ambiguity, synthesizing fragmented technical and business context into a clear view of how complex AI systems actually work, and making sound judgments without a complete playbook.
  • Influencing skills: Able to engage and align stakeholders across first and second lines of defense as a credible technical peer.
  • Communication: Strong written and verbal skills, you can explain AI risk to a data scientist and to a regulator, and use different language for each.
  • Advanced or fluent English: You will meet with partners and stakeholders across countries and prepare documentation and presentations in English.
  • PLUS: Experience in a 2nd or 3rd line of defense.
  • PLUS: Familiarity with regulatory Model Risk Management and AI frameworks (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF, EU AI Act).

Benefits
  • Opportunity of earning equity at Nu
  • Medical Insurance
  • Dental and Vision Insurance
  • Life Insurance and AD&D
  • Extended maternity and paternity leaves
  • Nucleo - Our learning platform of courses
  • NuLanguage - Our language learning program
  • NuCare - Our mental health and wellness assistance program
  • Extended maternity and paternity leaves
  • 401K
  • Saving Plans - Health Saving Account and Flexible Spending Account
  • Work-from-home Allowance
  • Relocation Assistance Package, if applicable.
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration.
For more details, visit https://building.nubank.com/nu-hybrid-work-model/

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